Lec-6.24 K-Nearest Neighbours (Arif Butt @ Data Science)
01:06 Learning Agenda
03:38 Theory and Intuition behind KNN Algorithm
10:24 KNN Algorithm and its Complexity
14:50 Distance Similarity Measures for KNN Algorithm
26:28 Example 1: Binary Classification w/o Scikit-Learn
30:43 Example 2: Binary Classification using Scikit-Learn
46:46 Hyperparameter Tuning (Choosing Best value of K)
51:00 Impact of different values of K (Overfitting and Underfitting)
56:34 Limitations of KNN
58:23 KNN Enhancements
59:33 Task To Do
email: [email protected], [email protected], [email protected]
Lecture Slides and Resources: http://arifbutt.me
Jupyter notebooks: https://github.com/arifpucit/data-sci...